Overview

Brought to you by YData

Dataset statistics

Number of variables25
Number of observations30000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 MiB
Average record size in memory200.0 B

Variable types

Numeric21
Categorical3
Boolean1

Alerts

BILL_AMT1 is highly overall correlated with BILL_AMT2 and 8 other fieldsHigh correlation
BILL_AMT2 is highly overall correlated with BILL_AMT1 and 10 other fieldsHigh correlation
BILL_AMT3 is highly overall correlated with BILL_AMT1 and 11 other fieldsHigh correlation
BILL_AMT4 is highly overall correlated with BILL_AMT1 and 13 other fieldsHigh correlation
BILL_AMT5 is highly overall correlated with BILL_AMT1 and 13 other fieldsHigh correlation
BILL_AMT6 is highly overall correlated with BILL_AMT1 and 11 other fieldsHigh correlation
PAY_0 is highly overall correlated with PAY_2 and 2 other fieldsHigh correlation
PAY_2 is highly overall correlated with BILL_AMT1 and 7 other fieldsHigh correlation
PAY_3 is highly overall correlated with BILL_AMT1 and 9 other fieldsHigh correlation
PAY_4 is highly overall correlated with BILL_AMT1 and 10 other fieldsHigh correlation
PAY_5 is highly overall correlated with BILL_AMT2 and 8 other fieldsHigh correlation
PAY_6 is highly overall correlated with BILL_AMT2 and 8 other fieldsHigh correlation
PAY_AMT1 is highly overall correlated with BILL_AMT1 and 5 other fieldsHigh correlation
PAY_AMT2 is highly overall correlated with BILL_AMT3 and 5 other fieldsHigh correlation
PAY_AMT3 is highly overall correlated with BILL_AMT4 and 7 other fieldsHigh correlation
PAY_AMT4 is highly overall correlated with BILL_AMT4 and 6 other fieldsHigh correlation
PAY_AMT5 is highly overall correlated with BILL_AMT4 and 5 other fieldsHigh correlation
PAY_AMT6 is highly overall correlated with BILL_AMT5 and 4 other fieldsHigh correlation
PAY_AMT2 is highly skewed (γ1 = 30.45381745)Skewed
ID is uniformly distributedUniform
ID has unique valuesUnique
PAY_0 has 14737 (49.1%) zerosZeros
PAY_2 has 15730 (52.4%) zerosZeros
PAY_3 has 15764 (52.5%) zerosZeros
PAY_4 has 16455 (54.9%) zerosZeros
PAY_5 has 16947 (56.5%) zerosZeros
PAY_6 has 16286 (54.3%) zerosZeros
BILL_AMT1 has 2008 (6.7%) zerosZeros
BILL_AMT2 has 2506 (8.4%) zerosZeros
BILL_AMT3 has 2870 (9.6%) zerosZeros
BILL_AMT4 has 3195 (10.7%) zerosZeros
BILL_AMT5 has 3506 (11.7%) zerosZeros
BILL_AMT6 has 4020 (13.4%) zerosZeros
PAY_AMT1 has 5249 (17.5%) zerosZeros
PAY_AMT2 has 5396 (18.0%) zerosZeros
PAY_AMT3 has 5968 (19.9%) zerosZeros
PAY_AMT4 has 6408 (21.4%) zerosZeros
PAY_AMT5 has 6703 (22.3%) zerosZeros
PAY_AMT6 has 7173 (23.9%) zerosZeros

Reproduction

Analysis started2025-01-21 10:13:27.196278
Analysis finished2025-01-21 10:14:05.808285
Duration38.61 seconds
Software versionydata-profiling vv4.9.0
Download configurationconfig.json

Variables

ID
Real number (ℝ)

UNIFORM  UNIQUE 

Distinct30000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15000.5
Minimum1
Maximum30000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-01-21T15:44:05.925021image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1500.95
Q17500.75
median15000.5
Q322500.25
95-th percentile28500.05
Maximum30000
Range29999
Interquartile range (IQR)14999.5

Descriptive statistics

Standard deviation8660.3984
Coefficient of variation (CV)0.57734065
Kurtosis-1.2
Mean15000.5
Median Absolute Deviation (MAD)7500
Skewness0
Sum4.50015 × 108
Variance75002500
MonotonicityStrictly increasing
2025-01-21T15:44:06.180092image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
19997 1
 
< 0.1%
20009 1
 
< 0.1%
20008 1
 
< 0.1%
20007 1
 
< 0.1%
20006 1
 
< 0.1%
20005 1
 
< 0.1%
20004 1
 
< 0.1%
20003 1
 
< 0.1%
20002 1
 
< 0.1%
Other values (29990) 29990
> 99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
30000 1
< 0.1%
29999 1
< 0.1%
29998 1
< 0.1%
29997 1
< 0.1%
29996 1
< 0.1%
29995 1
< 0.1%
29994 1
< 0.1%
29993 1
< 0.1%
29992 1
< 0.1%
29991 1
< 0.1%

LIMIT_BAL
Real number (ℝ)

Distinct81
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean167484.32
Minimum10000
Maximum1000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-01-21T15:44:06.288743image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile20000
Q150000
median140000
Q3240000
95-th percentile430000
Maximum1000000
Range990000
Interquartile range (IQR)190000

Descriptive statistics

Standard deviation129747.66
Coefficient of variation (CV)0.77468541
Kurtosis0.5362629
Mean167484.32
Median Absolute Deviation (MAD)90000
Skewness0.99286696
Sum5.0245297 × 109
Variance1.6834456 × 1010
MonotonicityNot monotonic
2025-01-21T15:44:06.398184image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000 3365
 
11.2%
20000 1976
 
6.6%
30000 1610
 
5.4%
80000 1567
 
5.2%
200000 1528
 
5.1%
150000 1110
 
3.7%
100000 1048
 
3.5%
180000 995
 
3.3%
360000 881
 
2.9%
60000 825
 
2.8%
Other values (71) 15095
50.3%
ValueCountFrequency (%)
10000 493
 
1.6%
16000 2
 
< 0.1%
20000 1976
6.6%
30000 1610
5.4%
40000 230
 
0.8%
50000 3365
11.2%
60000 825
 
2.8%
70000 731
 
2.4%
80000 1567
5.2%
90000 651
 
2.2%
ValueCountFrequency (%)
1000000 1
 
< 0.1%
800000 2
 
< 0.1%
780000 2
 
< 0.1%
760000 1
 
< 0.1%
750000 4
< 0.1%
740000 2
 
< 0.1%
730000 2
 
< 0.1%
720000 3
 
< 0.1%
710000 6
< 0.1%
700000 8
< 0.1%

SEX
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size234.5 KiB
F
18112 
M
11888 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters30000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowF
3rd rowF
4th rowF
5th rowM

Common Values

ValueCountFrequency (%)
F 18112
60.4%
M 11888
39.6%

Length

2025-01-21T15:44:06.491880image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-21T15:44:06.575754image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ValueCountFrequency (%)
f 18112
60.4%
m 11888
39.6%

Most occurring characters

ValueCountFrequency (%)
F 18112
60.4%
M 11888
39.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 30000
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
F 18112
60.4%
M 11888
39.6%

Most occurring scripts

ValueCountFrequency (%)
Latin 30000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
F 18112
60.4%
M 11888
39.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
F 18112
60.4%
M 11888
39.6%

EDUCATION
Categorical

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size234.5 KiB
University
14030 
Graduate school
10585 
High School
4917 
Unknown
 
331
Others
 
123

Length

Max length15
Median length11
Mean length11.874367
Min length1

Characters and Unicode

Total characters356231
Distinct characters25
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUniversity
2nd rowUniversity
3rd rowUniversity
4th rowUniversity
5th rowUniversity

Common Values

ValueCountFrequency (%)
University 14030
46.8%
Graduate school 10585
35.3%
High School 4917
 
16.4%
Unknown 331
 
1.1%
Others 123
 
0.4%
0 14
 
< 0.1%

Length

2025-01-21T15:44:06.677710image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-21T15:44:06.766165image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ValueCountFrequency (%)
school 15502
34.1%
university 14030
30.8%
graduate 10585
23.3%
high 4917
 
10.8%
unknown 331
 
0.7%
others 123
 
0.3%
0 14
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
i 32977
 
9.3%
o 31335
 
8.8%
e 24738
 
6.9%
r 24738
 
6.9%
s 24738
 
6.9%
t 24738
 
6.9%
a 21170
 
5.9%
h 20542
 
5.8%
l 15502
 
4.4%
15502
 
4.4%
Other values (15) 120251
33.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 305812
85.8%
Uppercase Letter 34903
 
9.8%
Space Separator 15502
 
4.4%
Decimal Number 14
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 32977
10.8%
o 31335
10.2%
e 24738
 
8.1%
r 24738
 
8.1%
s 24738
 
8.1%
t 24738
 
8.1%
a 21170
 
6.9%
h 20542
 
6.7%
l 15502
 
5.1%
c 15502
 
5.1%
Other values (8) 69832
22.8%
Uppercase Letter
ValueCountFrequency (%)
U 14361
41.1%
G 10585
30.3%
H 4917
 
14.1%
S 4917
 
14.1%
O 123
 
0.4%
Space Separator
ValueCountFrequency (%)
15502
100.0%
Decimal Number
ValueCountFrequency (%)
0 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 340715
95.6%
Common 15516
 
4.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 32977
 
9.7%
o 31335
 
9.2%
e 24738
 
7.3%
r 24738
 
7.3%
s 24738
 
7.3%
t 24738
 
7.3%
a 21170
 
6.2%
h 20542
 
6.0%
l 15502
 
4.5%
c 15502
 
4.5%
Other values (13) 104735
30.7%
Common
ValueCountFrequency (%)
15502
99.9%
0 14
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 356231
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 32977
 
9.3%
o 31335
 
8.8%
e 24738
 
6.9%
r 24738
 
6.9%
s 24738
 
6.9%
t 24738
 
6.9%
a 21170
 
5.9%
h 20542
 
5.8%
l 15502
 
4.4%
15502
 
4.4%
Other values (15) 120251
33.8%

MARRIAGE
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size234.5 KiB
Single
15964 
Married
13659 
Other
 
323
0
 
54

Length

Max length7
Median length6
Mean length6.4355333
Min length1

Characters and Unicode

Total characters193066
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMarried
2nd rowSingle
3rd rowSingle
4th rowMarried
5th rowMarried

Common Values

ValueCountFrequency (%)
Single 15964
53.2%
Married 13659
45.5%
Other 323
 
1.1%
0 54
 
0.2%

Length

2025-01-21T15:44:06.869658image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-21T15:44:06.949800image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ValueCountFrequency (%)
single 15964
53.2%
married 13659
45.5%
other 323
 
1.1%
0 54
 
0.2%

Most occurring characters

ValueCountFrequency (%)
e 29946
15.5%
i 29623
15.3%
r 27641
14.3%
S 15964
8.3%
n 15964
8.3%
g 15964
8.3%
l 15964
8.3%
M 13659
7.1%
a 13659
7.1%
d 13659
7.1%
Other values (4) 1023
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 163066
84.5%
Uppercase Letter 29946
 
15.5%
Decimal Number 54
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 29946
18.4%
i 29623
18.2%
r 27641
17.0%
n 15964
9.8%
g 15964
9.8%
l 15964
9.8%
a 13659
8.4%
d 13659
8.4%
t 323
 
0.2%
h 323
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
S 15964
53.3%
M 13659
45.6%
O 323
 
1.1%
Decimal Number
ValueCountFrequency (%)
0 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 193012
> 99.9%
Common 54
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 29946
15.5%
i 29623
15.3%
r 27641
14.3%
S 15964
8.3%
n 15964
8.3%
g 15964
8.3%
l 15964
8.3%
M 13659
7.1%
a 13659
7.1%
d 13659
7.1%
Other values (3) 969
 
0.5%
Common
ValueCountFrequency (%)
0 54
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 193066
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 29946
15.5%
i 29623
15.3%
r 27641
14.3%
S 15964
8.3%
n 15964
8.3%
g 15964
8.3%
l 15964
8.3%
M 13659
7.1%
a 13659
7.1%
d 13659
7.1%
Other values (4) 1023
 
0.5%

AGE
Real number (ℝ)

Distinct56
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.4855
Minimum21
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-01-21T15:44:07.041142image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile23
Q128
median34
Q341
95-th percentile53
Maximum79
Range58
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.2179041
Coefficient of variation (CV)0.25976537
Kurtosis0.044303378
Mean35.4855
Median Absolute Deviation (MAD)6
Skewness0.73224587
Sum1064565
Variance84.969755
MonotonicityNot monotonic
2025-01-21T15:44:07.146715image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29 1605
 
5.3%
27 1477
 
4.9%
28 1409
 
4.7%
30 1395
 
4.7%
26 1256
 
4.2%
31 1217
 
4.1%
25 1186
 
4.0%
34 1162
 
3.9%
32 1158
 
3.9%
33 1146
 
3.8%
Other values (46) 16989
56.6%
ValueCountFrequency (%)
21 67
 
0.2%
22 560
 
1.9%
23 931
3.1%
24 1127
3.8%
25 1186
4.0%
26 1256
4.2%
27 1477
4.9%
28 1409
4.7%
29 1605
5.3%
30 1395
4.7%
ValueCountFrequency (%)
79 1
 
< 0.1%
75 3
 
< 0.1%
74 1
 
< 0.1%
73 4
 
< 0.1%
72 3
 
< 0.1%
71 3
 
< 0.1%
70 10
< 0.1%
69 15
0.1%
68 5
 
< 0.1%
67 16
0.1%

PAY_0
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0167
Minimum-2
Maximum8
Zeros14737
Zeros (%)49.1%
Negative8445
Negative (%)28.1%
Memory size234.5 KiB
2025-01-21T15:44:07.235567image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1238015
Coefficient of variation (CV)-67.293505
Kurtosis2.720715
Mean-0.0167
Median Absolute Deviation (MAD)1
Skewness0.73197493
Sum-501
Variance1.2629299
MonotonicityNot monotonic
2025-01-21T15:44:07.320205image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 14737
49.1%
-1 5686
 
19.0%
1 3688
 
12.3%
-2 2759
 
9.2%
2 2667
 
8.9%
3 322
 
1.1%
4 76
 
0.3%
5 26
 
0.1%
8 19
 
0.1%
6 11
 
< 0.1%
ValueCountFrequency (%)
-2 2759
 
9.2%
-1 5686
 
19.0%
0 14737
49.1%
1 3688
 
12.3%
2 2667
 
8.9%
3 322
 
1.1%
4 76
 
0.3%
5 26
 
0.1%
6 11
 
< 0.1%
7 9
 
< 0.1%
ValueCountFrequency (%)
8 19
 
0.1%
7 9
 
< 0.1%
6 11
 
< 0.1%
5 26
 
0.1%
4 76
 
0.3%
3 322
 
1.1%
2 2667
 
8.9%
1 3688
 
12.3%
0 14737
49.1%
-1 5686
 
19.0%

PAY_2
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.13376667
Minimum-2
Maximum8
Zeros15730
Zeros (%)52.4%
Negative9832
Negative (%)32.8%
Memory size234.5 KiB
2025-01-21T15:44:07.398712image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.197186
Coefficient of variation (CV)-8.9498079
Kurtosis1.5704177
Mean-0.13376667
Median Absolute Deviation (MAD)0
Skewness0.79056502
Sum-4013
Variance1.4332543
MonotonicityNot monotonic
2025-01-21T15:44:07.479748image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 15730
52.4%
-1 6050
 
20.2%
2 3927
 
13.1%
-2 3782
 
12.6%
3 326
 
1.1%
4 99
 
0.3%
1 28
 
0.1%
5 25
 
0.1%
7 20
 
0.1%
6 12
 
< 0.1%
ValueCountFrequency (%)
-2 3782
 
12.6%
-1 6050
 
20.2%
0 15730
52.4%
1 28
 
0.1%
2 3927
 
13.1%
3 326
 
1.1%
4 99
 
0.3%
5 25
 
0.1%
6 12
 
< 0.1%
7 20
 
0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 20
 
0.1%
6 12
 
< 0.1%
5 25
 
0.1%
4 99
 
0.3%
3 326
 
1.1%
2 3927
 
13.1%
1 28
 
0.1%
0 15730
52.4%
-1 6050
 
20.2%

PAY_3
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1662
Minimum-2
Maximum8
Zeros15764
Zeros (%)52.5%
Negative10023
Negative (%)33.4%
Memory size234.5 KiB
2025-01-21T15:44:07.557559image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1968676
Coefficient of variation (CV)-7.2013692
Kurtosis2.0844359
Mean-0.1662
Median Absolute Deviation (MAD)0
Skewness0.84068183
Sum-4986
Variance1.432492
MonotonicityNot monotonic
2025-01-21T15:44:07.639570image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 15764
52.5%
-1 5938
 
19.8%
-2 4085
 
13.6%
2 3819
 
12.7%
3 240
 
0.8%
4 76
 
0.3%
7 27
 
0.1%
6 23
 
0.1%
5 21
 
0.1%
1 4
 
< 0.1%
ValueCountFrequency (%)
-2 4085
 
13.6%
-1 5938
 
19.8%
0 15764
52.5%
1 4
 
< 0.1%
2 3819
 
12.7%
3 240
 
0.8%
4 76
 
0.3%
5 21
 
0.1%
6 23
 
0.1%
7 27
 
0.1%
ValueCountFrequency (%)
8 3
 
< 0.1%
7 27
 
0.1%
6 23
 
0.1%
5 21
 
0.1%
4 76
 
0.3%
3 240
 
0.8%
2 3819
 
12.7%
1 4
 
< 0.1%
0 15764
52.5%
-1 5938
 
19.8%

PAY_4
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.22066667
Minimum-2
Maximum8
Zeros16455
Zeros (%)54.9%
Negative10035
Negative (%)33.5%
Memory size234.5 KiB
2025-01-21T15:44:07.717633image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1691386
Coefficient of variation (CV)-5.2982113
Kurtosis3.4969835
Mean-0.22066667
Median Absolute Deviation (MAD)0
Skewness0.99962941
Sum-6620
Variance1.3668851
MonotonicityNot monotonic
2025-01-21T15:44:07.798054image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 16455
54.9%
-1 5687
 
19.0%
-2 4348
 
14.5%
2 3159
 
10.5%
3 180
 
0.6%
4 69
 
0.2%
7 58
 
0.2%
5 35
 
0.1%
6 5
 
< 0.1%
1 2
 
< 0.1%
ValueCountFrequency (%)
-2 4348
 
14.5%
-1 5687
 
19.0%
0 16455
54.9%
1 2
 
< 0.1%
2 3159
 
10.5%
3 180
 
0.6%
4 69
 
0.2%
5 35
 
0.1%
6 5
 
< 0.1%
7 58
 
0.2%
ValueCountFrequency (%)
8 2
 
< 0.1%
7 58
 
0.2%
6 5
 
< 0.1%
5 35
 
0.1%
4 69
 
0.2%
3 180
 
0.6%
2 3159
 
10.5%
1 2
 
< 0.1%
0 16455
54.9%
-1 5687
 
19.0%

PAY_5
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2662
Minimum-2
Maximum8
Zeros16947
Zeros (%)56.5%
Negative10085
Negative (%)33.6%
Memory size234.5 KiB
2025-01-21T15:44:07.878062image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1331874
Coefficient of variation (CV)-4.2569024
Kurtosis3.9897481
Mean-0.2662
Median Absolute Deviation (MAD)0
Skewness1.008197
Sum-7986
Variance1.2841137
MonotonicityNot monotonic
2025-01-21T15:44:07.963655image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 16947
56.5%
-1 5539
 
18.5%
-2 4546
 
15.2%
2 2626
 
8.8%
3 178
 
0.6%
4 84
 
0.3%
7 58
 
0.2%
5 17
 
0.1%
6 4
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
-2 4546
 
15.2%
-1 5539
 
18.5%
0 16947
56.5%
2 2626
 
8.8%
3 178
 
0.6%
4 84
 
0.3%
5 17
 
0.1%
6 4
 
< 0.1%
7 58
 
0.2%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 58
 
0.2%
6 4
 
< 0.1%
5 17
 
0.1%
4 84
 
0.3%
3 178
 
0.6%
2 2626
 
8.8%
0 16947
56.5%
-1 5539
 
18.5%
-2 4546
 
15.2%

PAY_6
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2911
Minimum-2
Maximum8
Zeros16286
Zeros (%)54.3%
Negative10635
Negative (%)35.4%
Memory size234.5 KiB
2025-01-21T15:44:08.042936image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1499876
Coefficient of variation (CV)-3.95049
Kurtosis3.4265341
Mean-0.2911
Median Absolute Deviation (MAD)0
Skewness0.94802939
Sum-8733
Variance1.3224715
MonotonicityNot monotonic
2025-01-21T15:44:08.123276image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 16286
54.3%
-1 5740
 
19.1%
-2 4895
 
16.3%
2 2766
 
9.2%
3 184
 
0.6%
4 49
 
0.2%
7 46
 
0.2%
6 19
 
0.1%
5 13
 
< 0.1%
8 2
 
< 0.1%
ValueCountFrequency (%)
-2 4895
 
16.3%
-1 5740
 
19.1%
0 16286
54.3%
2 2766
 
9.2%
3 184
 
0.6%
4 49
 
0.2%
5 13
 
< 0.1%
6 19
 
0.1%
7 46
 
0.2%
8 2
 
< 0.1%
ValueCountFrequency (%)
8 2
 
< 0.1%
7 46
 
0.2%
6 19
 
0.1%
5 13
 
< 0.1%
4 49
 
0.2%
3 184
 
0.6%
2 2766
 
9.2%
0 16286
54.3%
-1 5740
 
19.1%
-2 4895
 
16.3%

BILL_AMT1
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22723
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51223.331
Minimum-165580
Maximum964511
Zeros2008
Zeros (%)6.7%
Negative590
Negative (%)2.0%
Memory size234.5 KiB
2025-01-21T15:44:08.219898image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-165580
5-th percentile0
Q13558.75
median22381.5
Q367091
95-th percentile201203.05
Maximum964511
Range1130091
Interquartile range (IQR)63532.25

Descriptive statistics

Standard deviation73635.861
Coefficient of variation (CV)1.4375453
Kurtosis9.8062893
Mean51223.331
Median Absolute Deviation (MAD)21800.5
Skewness2.663861
Sum1.5366999 × 109
Variance5.42224 × 109
MonotonicityNot monotonic
2025-01-21T15:44:08.329484image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2008
 
6.7%
390 244
 
0.8%
780 76
 
0.3%
326 72
 
0.2%
316 63
 
0.2%
2500 59
 
0.2%
396 49
 
0.2%
2400 39
 
0.1%
416 29
 
0.1%
500 25
 
0.1%
Other values (22713) 27336
91.1%
ValueCountFrequency (%)
-165580 1
< 0.1%
-154973 1
< 0.1%
-15308 1
< 0.1%
-14386 1
< 0.1%
-11545 1
< 0.1%
-10682 1
< 0.1%
-9802 1
< 0.1%
-9095 1
< 0.1%
-8187 1
< 0.1%
-7438 1
< 0.1%
ValueCountFrequency (%)
964511 1
< 0.1%
746814 1
< 0.1%
653062 1
< 0.1%
630458 1
< 0.1%
626648 1
< 0.1%
621749 1
< 0.1%
613860 1
< 0.1%
610723 1
< 0.1%
608594 1
< 0.1%
604019 1
< 0.1%

BILL_AMT2
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22346
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49179.075
Minimum-69777
Maximum983931
Zeros2506
Zeros (%)8.4%
Negative669
Negative (%)2.2%
Memory size234.5 KiB
2025-01-21T15:44:08.440740image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-69777
5-th percentile0
Q12984.75
median21200
Q364006.25
95-th percentile194792.2
Maximum983931
Range1053708
Interquartile range (IQR)61021.5

Descriptive statistics

Standard deviation71173.769
Coefficient of variation (CV)1.4472368
Kurtosis10.302946
Mean49179.075
Median Absolute Deviation (MAD)20810
Skewness2.7052209
Sum1.4753723 × 109
Variance5.0657054 × 109
MonotonicityNot monotonic
2025-01-21T15:44:08.551299image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2506
 
8.4%
390 231
 
0.8%
326 75
 
0.2%
780 75
 
0.2%
316 72
 
0.2%
396 51
 
0.2%
2500 51
 
0.2%
2400 42
 
0.1%
-200 29
 
0.1%
416 28
 
0.1%
Other values (22336) 26840
89.5%
ValueCountFrequency (%)
-69777 1
< 0.1%
-67526 1
< 0.1%
-33350 1
< 0.1%
-30000 1
< 0.1%
-26214 1
< 0.1%
-24704 1
< 0.1%
-24702 1
< 0.1%
-22960 1
< 0.1%
-18618 1
< 0.1%
-18088 1
< 0.1%
ValueCountFrequency (%)
983931 1
< 0.1%
743970 1
< 0.1%
671563 1
< 0.1%
646770 1
< 0.1%
624475 1
< 0.1%
605943 1
< 0.1%
597793 1
< 0.1%
586825 1
< 0.1%
581775 1
< 0.1%
577681 1
< 0.1%

BILL_AMT3
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22026
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47013.155
Minimum-157264
Maximum1664089
Zeros2870
Zeros (%)9.6%
Negative655
Negative (%)2.2%
Memory size234.5 KiB
2025-01-21T15:44:08.655634image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-157264
5-th percentile0
Q12666.25
median20088.5
Q360164.75
95-th percentile187821.05
Maximum1664089
Range1821353
Interquartile range (IQR)57498.5

Descriptive statistics

Standard deviation69349.387
Coefficient of variation (CV)1.475106
Kurtosis19.783255
Mean47013.155
Median Absolute Deviation (MAD)19708.5
Skewness3.08783
Sum1.4103946 × 109
Variance4.8093375 × 109
MonotonicityNot monotonic
2025-01-21T15:44:08.764267image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2870
 
9.6%
390 275
 
0.9%
780 74
 
0.2%
326 63
 
0.2%
316 62
 
0.2%
396 48
 
0.2%
2500 40
 
0.1%
2400 39
 
0.1%
416 29
 
0.1%
200 27
 
0.1%
Other values (22016) 26473
88.2%
ValueCountFrequency (%)
-157264 1
< 0.1%
-61506 1
< 0.1%
-46127 1
< 0.1%
-34041 1
< 0.1%
-25443 1
< 0.1%
-24702 1
< 0.1%
-20320 1
< 0.1%
-17706 1
< 0.1%
-15910 1
< 0.1%
-15641 1
< 0.1%
ValueCountFrequency (%)
1664089 1
< 0.1%
855086 1
< 0.1%
693131 1
< 0.1%
689643 1
< 0.1%
689627 1
< 0.1%
632041 1
< 0.1%
597415 1
< 0.1%
578971 1
< 0.1%
577957 1
< 0.1%
577015 1
< 0.1%

BILL_AMT4
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21548
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43262.949
Minimum-170000
Maximum891586
Zeros3195
Zeros (%)10.7%
Negative675
Negative (%)2.2%
Memory size234.5 KiB
2025-01-21T15:44:08.875579image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-170000
5-th percentile0
Q12326.75
median19052
Q354506
95-th percentile174333.35
Maximum891586
Range1061586
Interquartile range (IQR)52179.25

Descriptive statistics

Standard deviation64332.856
Coefficient of variation (CV)1.4870197
Kurtosis11.309325
Mean43262.949
Median Absolute Deviation (MAD)18656
Skewness2.8219653
Sum1.2978885 × 109
Variance4.1387164 × 109
MonotonicityNot monotonic
2025-01-21T15:44:08.984812image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3195
 
10.7%
390 246
 
0.8%
780 101
 
0.3%
316 68
 
0.2%
326 62
 
0.2%
396 44
 
0.1%
2400 39
 
0.1%
150 39
 
0.1%
2500 34
 
0.1%
416 33
 
0.1%
Other values (21538) 26139
87.1%
ValueCountFrequency (%)
-170000 1
< 0.1%
-81334 1
< 0.1%
-65167 1
< 0.1%
-50616 1
< 0.1%
-46627 1
< 0.1%
-34503 1
< 0.1%
-27490 1
< 0.1%
-24303 1
< 0.1%
-22108 1
< 0.1%
-20320 1
< 0.1%
ValueCountFrequency (%)
891586 1
< 0.1%
706864 1
< 0.1%
628699 1
< 0.1%
616836 1
< 0.1%
572805 1
< 0.1%
569034 1
< 0.1%
565669 1
< 0.1%
563543 1
< 0.1%
548020 1
< 0.1%
542653 1
< 0.1%

BILL_AMT5
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21010
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40311.401
Minimum-81334
Maximum927171
Zeros3506
Zeros (%)11.7%
Negative655
Negative (%)2.2%
Memory size234.5 KiB
2025-01-21T15:44:09.090971image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-81334
5-th percentile0
Q11763
median18104.5
Q350190.5
95-th percentile165794.3
Maximum927171
Range1008505
Interquartile range (IQR)48427.5

Descriptive statistics

Standard deviation60797.156
Coefficient of variation (CV)1.5081876
Kurtosis12.305881
Mean40311.401
Median Absolute Deviation (MAD)17688.5
Skewness2.8763799
Sum1.209342 × 109
Variance3.6962941 × 109
MonotonicityNot monotonic
2025-01-21T15:44:09.193267image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3506
 
11.7%
390 235
 
0.8%
780 94
 
0.3%
316 79
 
0.3%
326 62
 
0.2%
150 58
 
0.2%
396 47
 
0.2%
2400 39
 
0.1%
2500 37
 
0.1%
416 36
 
0.1%
Other values (21000) 25807
86.0%
ValueCountFrequency (%)
-81334 1
< 0.1%
-61372 1
< 0.1%
-53007 1
< 0.1%
-46627 1
< 0.1%
-37594 1
< 0.1%
-36156 1
< 0.1%
-30481 1
< 0.1%
-28335 1
< 0.1%
-23003 1
< 0.1%
-20753 1
< 0.1%
ValueCountFrequency (%)
927171 1
< 0.1%
823540 1
< 0.1%
587067 1
< 0.1%
551702 1
< 0.1%
547880 1
< 0.1%
530672 1
< 0.1%
524315 1
< 0.1%
516139 1
< 0.1%
514114 1
< 0.1%
508213 1
< 0.1%

BILL_AMT6
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20604
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38871.76
Minimum-339603
Maximum961664
Zeros4020
Zeros (%)13.4%
Negative688
Negative (%)2.3%
Memory size234.5 KiB
2025-01-21T15:44:09.296827image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-339603
5-th percentile0
Q11256
median17071
Q349198.25
95-th percentile161912
Maximum961664
Range1301267
Interquartile range (IQR)47942.25

Descriptive statistics

Standard deviation59554.108
Coefficient of variation (CV)1.5320661
Kurtosis12.270705
Mean38871.76
Median Absolute Deviation (MAD)16755
Skewness2.8466446
Sum1.1661528 × 109
Variance3.5466917 × 109
MonotonicityNot monotonic
2025-01-21T15:44:09.411369image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4020
 
13.4%
390 207
 
0.7%
780 86
 
0.3%
150 78
 
0.3%
316 77
 
0.3%
326 56
 
0.2%
396 45
 
0.1%
416 36
 
0.1%
-18 33
 
0.1%
2400 32
 
0.1%
Other values (20594) 25330
84.4%
ValueCountFrequency (%)
-339603 1
< 0.1%
-209051 1
< 0.1%
-150953 1
< 0.1%
-94625 1
< 0.1%
-73895 1
< 0.1%
-57060 1
< 0.1%
-51443 1
< 0.1%
-51183 1
< 0.1%
-46627 1
< 0.1%
-45734 1
< 0.1%
ValueCountFrequency (%)
961664 1
< 0.1%
699944 1
< 0.1%
568638 1
< 0.1%
527711 1
< 0.1%
527566 1
< 0.1%
514975 1
< 0.1%
513798 1
< 0.1%
511905 1
< 0.1%
501370 1
< 0.1%
499100 1
< 0.1%

PAY_AMT1
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7943
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5663.5805
Minimum0
Maximum873552
Zeros5249
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-01-21T15:44:09.519094image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11000
median2100
Q35006
95-th percentile18428.2
Maximum873552
Range873552
Interquartile range (IQR)4006

Descriptive statistics

Standard deviation16563.28
Coefficient of variation (CV)2.9245246
Kurtosis415.25474
Mean5663.5805
Median Absolute Deviation (MAD)1932
Skewness14.668364
Sum1.6990742 × 108
Variance2.7434226 × 108
MonotonicityNot monotonic
2025-01-21T15:44:09.618811image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5249
 
17.5%
2000 1363
 
4.5%
3000 891
 
3.0%
5000 698
 
2.3%
1500 507
 
1.7%
4000 426
 
1.4%
10000 401
 
1.3%
1000 365
 
1.2%
2500 298
 
1.0%
6000 294
 
1.0%
Other values (7933) 19508
65.0%
ValueCountFrequency (%)
0 5249
17.5%
1 9
 
< 0.1%
2 14
 
< 0.1%
3 15
 
0.1%
4 18
 
0.1%
5 12
 
< 0.1%
6 15
 
0.1%
7 9
 
< 0.1%
8 8
 
< 0.1%
9 7
 
< 0.1%
ValueCountFrequency (%)
873552 1
< 0.1%
505000 1
< 0.1%
493358 1
< 0.1%
423903 1
< 0.1%
405016 1
< 0.1%
368199 1
< 0.1%
323014 1
< 0.1%
304815 1
< 0.1%
302000 1
< 0.1%
300039 1
< 0.1%

PAY_AMT2
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct7899
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5921.1635
Minimum0
Maximum1684259
Zeros5396
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-01-21T15:44:09.717534image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1833
median2009
Q35000
95-th percentile19004.35
Maximum1684259
Range1684259
Interquartile range (IQR)4167

Descriptive statistics

Standard deviation23040.87
Coefficient of variation (CV)3.8912741
Kurtosis1641.6319
Mean5921.1635
Median Absolute Deviation (MAD)1991
Skewness30.453817
Sum1.776349 × 108
Variance5.3088171 × 108
MonotonicityNot monotonic
2025-01-21T15:44:09.963007image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5396
 
18.0%
2000 1290
 
4.3%
3000 857
 
2.9%
5000 717
 
2.4%
1000 594
 
2.0%
1500 521
 
1.7%
4000 410
 
1.4%
10000 318
 
1.1%
6000 283
 
0.9%
2500 251
 
0.8%
Other values (7889) 19363
64.5%
ValueCountFrequency (%)
0 5396
18.0%
1 15
 
0.1%
2 20
 
0.1%
3 18
 
0.1%
4 11
 
< 0.1%
5 25
 
0.1%
6 8
 
< 0.1%
7 12
 
< 0.1%
8 9
 
< 0.1%
9 6
 
< 0.1%
ValueCountFrequency (%)
1684259 1
< 0.1%
1227082 1
< 0.1%
1215471 1
< 0.1%
1024516 1
< 0.1%
580464 1
< 0.1%
415552 1
< 0.1%
401003 1
< 0.1%
388126 1
< 0.1%
385228 1
< 0.1%
384986 1
< 0.1%

PAY_AMT3
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7518
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5225.6815
Minimum0
Maximum896040
Zeros5968
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-01-21T15:44:10.081233image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1390
median1800
Q34505
95-th percentile17589.4
Maximum896040
Range896040
Interquartile range (IQR)4115

Descriptive statistics

Standard deviation17606.961
Coefficient of variation (CV)3.3693139
Kurtosis564.31123
Mean5225.6815
Median Absolute Deviation (MAD)1795
Skewness17.216635
Sum1.5677044 × 108
Variance3.1000509 × 108
MonotonicityNot monotonic
2025-01-21T15:44:10.208179image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5968
 
19.9%
2000 1285
 
4.3%
1000 1103
 
3.7%
3000 870
 
2.9%
5000 721
 
2.4%
1500 490
 
1.6%
4000 381
 
1.3%
10000 312
 
1.0%
1200 243
 
0.8%
6000 241
 
0.8%
Other values (7508) 18386
61.3%
ValueCountFrequency (%)
0 5968
19.9%
1 13
 
< 0.1%
2 19
 
0.1%
3 14
 
< 0.1%
4 15
 
0.1%
5 18
 
0.1%
6 14
 
< 0.1%
7 18
 
0.1%
8 10
 
< 0.1%
9 12
 
< 0.1%
ValueCountFrequency (%)
896040 1
< 0.1%
889043 1
< 0.1%
508229 1
< 0.1%
417588 1
< 0.1%
400972 1
< 0.1%
397092 1
< 0.1%
380478 1
< 0.1%
371718 1
< 0.1%
349395 1
< 0.1%
344261 1
< 0.1%

PAY_AMT4
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6937
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4826.0769
Minimum0
Maximum621000
Zeros6408
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-01-21T15:44:10.324412image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1296
median1500
Q34013.25
95-th percentile16014.95
Maximum621000
Range621000
Interquartile range (IQR)3717.25

Descriptive statistics

Standard deviation15666.16
Coefficient of variation (CV)3.246148
Kurtosis277.33377
Mean4826.0769
Median Absolute Deviation (MAD)1500
Skewness12.904985
Sum1.4478231 × 108
Variance2.4542856 × 108
MonotonicityNot monotonic
2025-01-21T15:44:10.437510image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6408
 
21.4%
1000 1394
 
4.6%
2000 1214
 
4.0%
3000 887
 
3.0%
5000 810
 
2.7%
1500 441
 
1.5%
4000 402
 
1.3%
10000 341
 
1.1%
2500 259
 
0.9%
500 258
 
0.9%
Other values (6927) 17586
58.6%
ValueCountFrequency (%)
0 6408
21.4%
1 22
 
0.1%
2 22
 
0.1%
3 13
 
< 0.1%
4 20
 
0.1%
5 12
 
< 0.1%
6 16
 
0.1%
7 11
 
< 0.1%
8 7
 
< 0.1%
9 9
 
< 0.1%
ValueCountFrequency (%)
621000 1
< 0.1%
528897 1
< 0.1%
497000 1
< 0.1%
432130 1
< 0.1%
400046 1
< 0.1%
331788 1
< 0.1%
330982 1
< 0.1%
320008 1
< 0.1%
313094 1
< 0.1%
292962 1
< 0.1%

PAY_AMT5
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6897
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4799.3876
Minimum0
Maximum426529
Zeros6703
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-01-21T15:44:10.554806image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1252.5
median1500
Q34031.5
95-th percentile16000
Maximum426529
Range426529
Interquartile range (IQR)3779

Descriptive statistics

Standard deviation15278.306
Coefficient of variation (CV)3.1833865
Kurtosis180.06394
Mean4799.3876
Median Absolute Deviation (MAD)1500
Skewness11.127417
Sum1.4398163 × 108
Variance2.3342662 × 108
MonotonicityNot monotonic
2025-01-21T15:44:10.664701image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6703
 
22.3%
1000 1340
 
4.5%
2000 1323
 
4.4%
3000 947
 
3.2%
5000 814
 
2.7%
1500 426
 
1.4%
4000 401
 
1.3%
10000 343
 
1.1%
500 250
 
0.8%
6000 247
 
0.8%
Other values (6887) 17206
57.4%
ValueCountFrequency (%)
0 6703
22.3%
1 21
 
0.1%
2 13
 
< 0.1%
3 13
 
< 0.1%
4 12
 
< 0.1%
5 9
 
< 0.1%
6 7
 
< 0.1%
7 9
 
< 0.1%
8 6
 
< 0.1%
9 6
 
< 0.1%
ValueCountFrequency (%)
426529 1
< 0.1%
417990 1
< 0.1%
388071 1
< 0.1%
379267 1
< 0.1%
332000 1
< 0.1%
331788 1
< 0.1%
330982 1
< 0.1%
326889 1
< 0.1%
317077 1
< 0.1%
310135 1
< 0.1%

PAY_AMT6
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6939
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5215.5026
Minimum0
Maximum528666
Zeros7173
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-01-21T15:44:10.768798image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1117.75
median1500
Q34000
95-th percentile17343.8
Maximum528666
Range528666
Interquartile range (IQR)3882.25

Descriptive statistics

Standard deviation17777.466
Coefficient of variation (CV)3.4085815
Kurtosis167.16143
Mean5215.5026
Median Absolute Deviation (MAD)1500
Skewness10.640727
Sum1.5646508 × 108
Variance3.1603829 × 108
MonotonicityNot monotonic
2025-01-21T15:44:10.880104image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7173
23.9%
1000 1299
 
4.3%
2000 1295
 
4.3%
3000 914
 
3.0%
5000 808
 
2.7%
1500 439
 
1.5%
4000 411
 
1.4%
10000 356
 
1.2%
500 247
 
0.8%
6000 220
 
0.7%
Other values (6929) 16838
56.1%
ValueCountFrequency (%)
0 7173
23.9%
1 20
 
0.1%
2 9
 
< 0.1%
3 14
 
< 0.1%
4 12
 
< 0.1%
5 7
 
< 0.1%
6 6
 
< 0.1%
7 5
 
< 0.1%
8 6
 
< 0.1%
9 7
 
< 0.1%
ValueCountFrequency (%)
528666 1
< 0.1%
527143 1
< 0.1%
443001 1
< 0.1%
422000 1
< 0.1%
403500 1
< 0.1%
377000 1
< 0.1%
372495 1
< 0.1%
351282 1
< 0.1%
345293 1
< 0.1%
308000 1
< 0.1%

default
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
False
23364 
True
6636 
ValueCountFrequency (%)
False 23364
77.9%
True 6636
 
22.1%
2025-01-21T15:44:10.966712image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Interactions

2025-01-21T15:44:03.518305image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:29.416187image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:31.135616image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:32.713683image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:34.288209image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:35.942113image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:37.462429image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:38.983622image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:40.826035image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:42.585589image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:44.200055image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:45.937269image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:47.667944image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:49.404149image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:51.184232image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:52.842917image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:54.706489image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:56.334273image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:58.080827image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:59.913643image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:01.771992image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:03.602347image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:29.504461image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:31.213639image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:32.787952image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:34.360922image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:36.014251image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:37.536635image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:39.054933image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:40.910905image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:42.661035image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:44.296740image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:46.019707image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:47.755666image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:49.481882image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:51.266032image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:52.931418image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:54.792725image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:56.417793image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:58.163437image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:59.993216image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:01.896896image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:03.708759image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:29.578819image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:31.291542image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:32.868208image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:34.432274image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:36.085558image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:37.611311image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:39.127641image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:41.142705image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:42.738940image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:44.378913image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:46.095357image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:47.849283image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:49.577055image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:51.344886image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:53.018151image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:54.872951image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:56.500291image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:58.242169image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:00.083193image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:01.986316image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:03.817442image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:29.741415image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:31.368937image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:32.939668image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:34.505668image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:36.162811image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:37.684058image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:39.200175image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:41.219582image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:42.818369image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:44.463680image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:46.173071image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:47.943167image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:49.654860image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:51.428590image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:53.108095image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:54.949357image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:56.581340image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:58.330043image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:00.166311image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:02.092837image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:03.917140image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:29.813140image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:31.438666image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:33.011944image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:34.571815image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:36.236447image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:37.754750image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:39.270838image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:41.294783image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:42.894971image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:44.543977image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:46.246241image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:48.031031image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:49.731266image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:51.505792image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:53.193361image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:55.026947image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:56.658572image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:58.405418image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:00.246672image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
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2025-01-21T15:43:46.999420image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:48.838298image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:50.602793image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:52.297393image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:54.123452image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:55.771023image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:57.484692image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:59.193294image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:01.071075image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:02.995546image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:04.832778image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:30.669989image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:32.261073image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:33.840973image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:35.506360image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:37.033538image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:38.548286image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:40.293156image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:42.134062image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:43.739669image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:45.443802image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:47.076681image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:48.926079image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:50.683170image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:52.391910image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:54.208432image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:55.859797image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:57.570918image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:59.276480image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:01.187822image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:03.077216image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:04.905184image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:30.744940image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:32.335277image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:33.914749image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:35.576513image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:37.103514image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:38.617703image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:40.379417image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:42.204567image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:43.815381image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:45.518384image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:47.296122image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:49.006721image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:50.761048image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:52.464954image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:54.286458image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:55.935688image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:57.651228image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:59.355982image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:01.289425image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:03.147299image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:04.985361image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:30.827533image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:32.419176image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:33.992441image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:35.656954image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:37.179921image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:38.696955image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:40.479236image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:42.287035image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:43.897056image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:45.602008image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:47.376585image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:49.092864image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:50.850021image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:52.547668image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:54.373033image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:56.025529image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:57.745140image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:59.446943image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:01.404816image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:03.227972image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:05.059201image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:30.898964image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:32.489664image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:34.065564image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:35.725672image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:37.248971image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:38.769226image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:40.569179image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:42.360307image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:43.971826image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:45.675848image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:47.447925image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:49.169438image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:50.931294image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:52.617307image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:54.457579image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:56.101085image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:57.828604image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:59.521211image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:01.489388image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:03.299944image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:05.137321image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:30.982971image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:32.566833image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:34.142205image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:35.801524image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:37.321561image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:38.845030image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:40.658203image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:42.438447image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:44.046805image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:45.762903image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:47.524454image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:49.251134image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:51.018231image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:52.691365image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:54.545548image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:56.180930image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:57.917710image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:59.606330image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:01.579385image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:03.375932image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:05.208313image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:31.054614image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:32.636908image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:34.216018image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:35.869147image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:37.388560image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:38.912550image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:40.740923image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:42.511469image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:44.120704image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:45.853580image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:47.595199image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:49.326849image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:51.100533image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:52.766403image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:54.625581image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:56.255398image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:57.998828image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:43:59.684562image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:01.683116image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2025-01-21T15:44:03.447962image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Correlations

2025-01-21T15:44:11.043002image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
AGEBILL_AMT1BILL_AMT2BILL_AMT3BILL_AMT4BILL_AMT5BILL_AMT6EDUCATIONIDLIMIT_BALMARRIAGEPAY_0PAY_2PAY_3PAY_4PAY_5PAY_6PAY_AMT1PAY_AMT2PAY_AMT3PAY_AMT4PAY_AMT5PAY_AMT6SEXdefault
AGE1.0000.0010.0020.002-0.003-0.0000.0000.1220.0250.1860.286-0.064-0.083-0.083-0.080-0.083-0.0760.0340.0440.0330.0410.0380.0390.0910.048
BILL_AMT10.0011.0000.9110.8580.8070.7690.7340.0340.0110.0540.0170.3150.5710.5240.5120.4990.4880.5020.4720.4410.4420.4250.4100.0260.031
BILL_AMT20.0020.9111.0000.9080.8480.8030.7650.0470.0100.0490.0120.3300.5510.5890.5580.5380.5240.6360.4980.4680.4610.4490.4290.0330.031
BILL_AMT30.0020.8580.9081.0000.9040.8490.8040.0470.0160.0610.0120.3140.5190.5570.6190.5870.5610.5500.6380.4920.4890.4770.4580.0180.000
BILL_AMT4-0.0030.8070.8480.9041.0000.9030.8480.0270.0330.0730.0140.3070.4980.5310.5930.6500.6060.5120.5550.6340.5070.5040.4810.0260.019
BILL_AMT5-0.0000.7690.8030.8490.9031.0000.9020.0450.0150.0810.0150.2990.4780.5070.5610.6180.6680.4830.5150.5490.6470.5250.5090.0210.017
BILL_AMT60.0000.7340.7650.8040.8480.9021.0000.0210.0200.0880.0160.2890.4590.4850.5340.5790.6300.4560.4870.5190.5700.6660.5290.0260.022
EDUCATION0.1220.0340.0470.0470.0270.0450.0211.0000.0380.1240.1140.0880.0960.0930.0860.0780.0750.0000.0000.0140.0000.0090.0240.0270.072
ID0.0250.0110.0100.0160.0330.0150.0200.0381.0000.0310.021-0.025-0.005-0.009-0.004-0.016-0.0060.0120.0510.0940.0220.0120.0380.1790.038
LIMIT_BAL0.1860.0540.0490.0610.0730.0810.0880.1240.0311.0000.064-0.296-0.343-0.332-0.309-0.285-0.2640.2720.2780.2840.2830.2940.3170.0730.157
MARRIAGE0.2860.0170.0120.0120.0140.0150.0160.1140.0210.0641.0000.0360.0340.0320.0350.0330.0300.0310.0200.0190.0300.0000.0000.0320.033
PAY_0-0.0640.3150.3300.3140.3070.2990.2890.088-0.025-0.2960.0361.0000.6270.5480.5160.4860.464-0.098-0.064-0.054-0.034-0.026-0.0450.0590.422
PAY_2-0.0830.5710.5510.5190.4980.4780.4590.096-0.005-0.3430.0340.6271.0000.7990.7130.6740.6350.0200.0840.0870.0950.0990.0820.0710.340
PAY_3-0.0830.5240.5890.5570.5310.5070.4850.093-0.009-0.3320.0320.5480.7991.0000.8010.7180.6710.2160.0370.1030.1190.1240.0980.0670.294
PAY_4-0.0800.5120.5580.6190.5930.5610.5340.086-0.004-0.3090.0350.5160.7130.8011.0000.8220.7320.1850.2460.0690.1440.1620.1430.0630.278
PAY_5-0.0830.4990.5380.5870.6500.6180.5790.078-0.016-0.2850.0330.4860.6740.7180.8221.0000.8210.1750.2220.2600.1070.1850.1720.0560.269
PAY_6-0.0760.4880.5240.5610.6060.6680.6300.075-0.006-0.2640.0300.4640.6350.6710.7320.8211.0000.1780.2000.2380.2840.1410.1980.0470.249
PAY_AMT10.0340.5020.6360.5500.5120.4830.4560.0000.0120.2720.031-0.0980.0200.2160.1850.1750.1781.0000.5120.5190.4860.4680.4550.0000.027
PAY_AMT20.0440.4720.4980.6380.5550.5150.4870.0000.0510.2780.020-0.0640.0840.0370.2460.2220.2000.5121.0000.5160.5200.4970.4910.0000.013
PAY_AMT30.0330.4410.4680.4920.6340.5490.5190.0140.0940.2840.019-0.0540.0870.1030.0690.2600.2380.5190.5161.0000.5160.5340.5050.0120.024
PAY_AMT40.0410.4420.4610.4890.5070.6470.5700.0000.0220.2830.030-0.0340.0950.1190.1440.1070.2840.4860.5200.5161.0000.5340.5470.0000.022
PAY_AMT50.0380.4250.4490.4770.5040.5250.6660.0090.0120.2940.000-0.0260.0990.1240.1620.1850.1410.4680.4970.5340.5341.0000.5490.0140.035
PAY_AMT60.0390.4100.4290.4580.4810.5090.5290.0240.0380.3170.000-0.0450.0820.0980.1430.1720.1980.4550.4910.5050.5470.5491.0000.0120.028
SEX0.0910.0260.0330.0180.0260.0210.0260.0270.1790.0730.0320.0590.0710.0670.0630.0560.0470.0000.0000.0120.0000.0140.0121.0000.039
default0.0480.0310.0310.0000.0190.0170.0220.0720.0380.1570.0330.4220.3400.2940.2780.2690.2490.0270.0130.0240.0220.0350.0280.0391.000

Missing values

2025-01-21T15:44:05.332826image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
A simple visualization of nullity by column.
2025-01-21T15:44:05.607948image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

IDLIMIT_BALSEXEDUCATIONMARRIAGEAGEPAY_0PAY_2PAY_3PAY_4PAY_5PAY_6BILL_AMT1BILL_AMT2BILL_AMT3BILL_AMT4BILL_AMT5BILL_AMT6PAY_AMT1PAY_AMT2PAY_AMT3PAY_AMT4PAY_AMT5PAY_AMT6default
0120000FUniversityMarried2422-1-1-2-23913310268900006890000Y
12120000FUniversitySingle26-120002268217252682327234553261010001000100002000Y
2390000FUniversitySingle34000000292391402713559143311494815549151815001000100010005000N
3450000FUniversityMarried37000000469904823349291283142895929547200020191200110010691000N
4550000MUniversityMarried57-10-10008617567035835209401914619131200036681100009000689679N
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